R/zchunk_L2241.coal_retire_USA.R
In JGCRI/gcamdata: Build the GCAM Input Datasets
Defines functions
module_gcamusa_L2241.coal_retire_USA
Documented in
module_gcamusa_L2241.coal_retire_USA
# Copyright 2019 Battelle Memorial Institute; see the LICENSE file.
#' module_gcamusa_L2241.coal_retire_USA
#'
#' Generates GCAM-USA model input for removing coal capacity retired between 2011 and 2015, 2016 and 2020, and vintaging capacity which continues to operate beyond 2020.
#'
#' @param command API command to execute
#' @param ... other optional parameters, depending on command
#' @return Depends on \code{command}: either a vector of required inputs,
#' a vector of output names, or (if \code{command} is "MAKE") all
#' the generated outputs: \code{L2241.StubTechProd_elec_coalret_USA}, \code{L2241.StubTechEff_elec_coalret_USA}, \code{L2241.StubTechSCurve_elec_coalret_USA},
#' \code{L2241.StubTechMarket_elec_coalret_USA}, \code{L2241.GlobalTechShrwt_elec_coalret_USA},
#' \code{L2241.GlobalTechCapFac_elec_coalret_USA}, \code{L2241.GlobalTechCapital_elec_coalret_USA}, \code{L2241.GlobalTechOMfixed_elec_coalret_USA},
#' \code{L2241.GlobalTechOMvar_elec_coalret_USA}, \code{L2241.GlobalTechEff_elec_coalret_USA}, \code{L2241.GlobalTechProfitShutdown_elec_coalret_USA},
#' \code{L2241.StubTechProd_coal_vintage_USA}, \code{L2241.StubTechEff_coal_vintage_USA}, \code{L2241.StubTechSCurve_coal_vintage_USA},
#' \code{L2241.StubTechProfitShutdown_coal_vintage_USA}, \code{L2241.StubTechMarket_coal_vintage_USA}, \code{L2241.GlobalTechShrwt_coal_vintage_USA},
#' \code{L2241.GlobalTechEff_coal_vintage_USA}, \code{L2241.GlobalTechCapFac_coal_vintage_USA}, \code{L2241.GlobalTechCapital_coal_vintage_USA},
#' \code{L2241.GlobalTechOMfixed_coal_vintage_USA}, \code{L2241.GlobalTechOMvar_coal_vintage_USA}.
#' The corresponding file in the original data system was \code{L2241.coal_slow_fast_retire_USA.R} (gcam-usa level2).
#' @details This chunk creates add-on files to take the fraction of reduction in coal electricity generation between 2010 and 2015 for each state and
#' forces that generation to retire in 2015. It also tempers retirement assumptions for the remaining coal fleet to allow
#' most 2015 generation to continue through mid-century.
#' @importFrom assertthat assert_that
#' @importFrom dplyr filter mutate select
#' @importFrom tidyr gather spread
#' @author RC Aug 2018
module_gcamusa_L2241.coal_retire_USA <- function(command, ...) {
if(command == driver.DECLARE_INPUTS) {
return(c(FILE = "gcam-usa/states_subregions",
FILE = "gcam-usa/A23.elec_tech_mapping_coal_retire",
FILE = "gcam-usa/A23.elec_tech_coal_retire_SCurve",
FILE = "gcam-usa/EIA_coal_generation_2018",
"L2234.StubTechProd_elecS_USA",
"L2234.StubTechEff_elecS_USA",
"L2234.StubTechMarket_elecS_USA",
"L2234.GlobalTechShrwt_elecS_USA",
"L2234.GlobalTechCapFac_elecS_USA",
"L2234.GlobalTechCapital_elecS_USA",
"L2234.GlobalTechOMfixed_elecS_USA",
"L2234.GlobalTechOMvar_elecS_USA",
"L2234.GlobalTechEff_elecS_USA",
"L2234.GlobalTechProfitShutdown_elecS_USA",
FILE = "gcam-usa/prime_mover_map",
FILE = "gcam-usa/EIA_860_generators_existing_2018",
FILE = "gcam-usa/EIA_860_generators_retired_2018",
FILE = "gcam-usa/EIA_923_generator_gen_fuel_2018"))
} else if(command == driver.DECLARE_OUTPUTS) {
return(c("L2241.StubTechProd_elec_coalret_USA",
"L2241.StubTechEff_elec_coalret_USA",
"L2241.StubTechSCurve_elec_coalret_USA",
"L2241.StubTechMarket_elec_coalret_USA",
"L2241.GlobalTechShrwt_elec_coalret_USA",
"L2241.GlobalTechCapFac_elec_coalret_USA",
"L2241.GlobalTechCapital_elec_coalret_USA",
"L2241.GlobalTechOMfixed_elec_coalret_USA",
"L2241.GlobalTechOMvar_elec_coalret_USA",
"L2241.GlobalTechEff_elec_coalret_USA",
"L2241.GlobalTechProfitShutdown_elec_coalret_USA",
"L2241.StubTechProd_coal_vintage_USA",
"L2241.StubTechEff_coal_vintage_USA",
"L2241.StubTechSCurve_coal_vintage_USA",
"L2241.StubTechProfitShutdown_coal_vintage_USA",
"L2241.StubTechMarket_coal_vintage_USA",
"L2241.GlobalTechShrwt_coal_vintage_USA",
"L2241.GlobalTechEff_coal_vintage_USA",
"L2241.GlobalTechCapFac_coal_vintage_USA",
"L2241.GlobalTechCapital_coal_vintage_USA",
"L2241.GlobalTechOMfixed_coal_vintage_USA",
"L2241.GlobalTechOMvar_coal_vintage_USA"))
} else if(command == driver.MAKE) {
all_data <- list(...)[[1]]
# silence package check notes
region <- year <- supplysector <- subsector <- stub.technology <- technology <- tech <- stub.technology.new <-
Electric.sector <- Electric.sector.technology <- source.key <- state <- state_name <- value <- retire_frac <-
fuel <- sector.name <- subsector.name <- median.shutdown.point <- profit.shutdown.steepness <-
share.weight.year <- subs.share.weight <- share.weight <- tech.share.weight <- share.vintage <-
calOutputValue <- calOutput_OLD <- capacity.factor <- input.capital <- capital.overnight <- fixed.charge.rate <-
input.OM.fixed <- OM.fixed <- input.OM.var <- OM.var <- minicam.energy.input <- efficiency <-
unit.capacity.MW <- Retirement.Year <- Nameplate.Capacity..MW. <- Summer.Capacity..MW. <- State <-
Plant.Code <- Generator.ID <- Operating.Year <- Planned.Retirement.Year <- Net.Generation.Year.To.Date <-
Status <- gen_share <- Prime.Mover <- Reported.Prime.Mover <- Energy.Source.1 <- Reported.Fuel.Type.Code <-
vintage.bin <- capacity <- generation <- gcam_fuel <- cap.lifetime <- lifetime <- avg.lifetime <- NULL
# Load required inputs
states_subregions <- get_data(all_data, "gcam-usa/states_subregions")
A23.elec_tech_mapping_coal_retire <- get_data(all_data, "gcam-usa/A23.elec_tech_mapping_coal_retire", strip_attributes = TRUE)
A23.elec_tech_coal_retire_SCurve <- get_data(all_data, "gcam-usa/A23.elec_tech_coal_retire_SCurve", strip_attributes = TRUE) %>%
select(-Electric.sector)
EIA_coal_generation_2018 <- get_data(all_data, "gcam-usa/EIA_coal_generation_2018", strip_attributes = TRUE)
L2234.StubTechProd_elecS_USA <- get_data(all_data, "L2234.StubTechProd_elecS_USA", strip_attributes = TRUE)
L2234.StubTechEff_elecS_USA <- get_data(all_data, "L2234.StubTechEff_elecS_USA", strip_attributes = TRUE)
L2234.StubTechMarket_elecS_USA <- get_data(all_data, "L2234.StubTechMarket_elecS_USA", strip_attributes = TRUE)
L2234.GlobalTechShrwt_elecS_USA <- get_data(all_data, "L2234.GlobalTechShrwt_elecS_USA", strip_attributes = TRUE)
L2234.GlobalTechCapFac_elecS_USA <- get_data(all_data, "L2234.GlobalTechCapFac_elecS_USA", strip_attributes = TRUE)
L2234.GlobalTechCapital_elecS_USA <- get_data(all_data, "L2234.GlobalTechCapital_elecS_USA", strip_attributes = TRUE)
L2234.GlobalTechOMfixed_elecS_USA <- get_data(all_data, "L2234.GlobalTechOMfixed_elecS_USA", strip_attributes = TRUE)
L2234.GlobalTechOMvar_elecS_USA <- get_data(all_data, "L2234.GlobalTechOMvar_elecS_USA", strip_attributes = TRUE)
L2234.GlobalTechEff_elecS_USA <- get_data(all_data, "L2234.GlobalTechEff_elecS_USA", strip_attributes = TRUE)
L2234.GlobalTechProfitShutdown_elecS_USA <- get_data(all_data, "L2234.GlobalTechProfitShutdown_elecS_USA", strip_attributes = TRUE)
prime_mover_map <- get_data(all_data, "gcam-usa/prime_mover_map")
eia_860_data_2018 <- get_data(all_data, "gcam-usa/EIA_860_generators_existing_2018")
eia_923_data_2018 <- get_data(all_data, "gcam-usa/EIA_923_generator_gen_fuel_2018")
# ===================================================
# Perform computations
# Prepare a table for stub technologies with all states and base years
A23.elec_tech_mapping_coal_retire %>%
repeat_add_columns(tibble(year = MODEL_BASE_YEARS)) %>%
repeat_add_columns(tibble(region = gcamusa.STATES)) %>%
rename(supplysector = Electric.sector, stub.technology = Electric.sector.technology) ->
L2241.elec_USA_coalret_base
# Calculate fraction of historical (2015) vintage retired by 2018
EIA_coal_gen_years <- EIA_coal_generation_2018 %>%
gather_years()
EIA_coal_gen_years <- unique(EIA_coal_gen_years$year)
EIA_coal_generation_2018 %>%
select(-source.key) %>%
gather_years() %>%
replace_na(list(value = 0)) %>%
# The EIA coal generation data set (EIA_coal_generation_2018) begins in 2001
# This is fine for the data's intended purposes, but causes test_timeshift to fail when max(MODEL_BASE_YEARS) < 2001
# Backfill historical values with 2001 values to avoid test_timeshift failure
complete(nesting(fuel, state, units), year = c(HISTORICAL_YEARS, EIA_coal_gen_years)) %>%
group_by(fuel, state, units) %>%
mutate(value = approx_fun(year, value, rule = 2)) %>%
ungroup() %>%
rename(state_name = state) %>%
left_join_error_no_match(states_subregions %>%
select(state, state_name),
by = "state_name") %>%
filter(year %in% c(max(MODEL_BASE_YEARS), max(year))) %>%
select(state, year, units, value) %>%
group_by(state) %>%
mutate(retire_frac = 1 - (value / value[year==max(MODEL_BASE_YEARS)])) %>%
filter(year == max(year)) %>%
replace_na(list(retire_frac = 0)) %>%
# 4 states (AR, HI, SD, WA) have retirement fractions < 0 (more coal in 2018 than base year) (all are small values besides AR)
# for these states, default all fractions < 0 to 0; this will (slightly) under-estimate coal generation in 2018,
# which is acceptable because 2018 will over-estimate 2020 generation
mutate(retire_frac = if_else(retire_frac < 0, 0, retire_frac)) %>%
select(region = state, retire_frac) -> fraction_coal_gen_retire
# Create two technologies: coal_base_conv pul and coal_base_conv pul_retire_2020
# L2241.StubTechProd_elec_USA_coalret: Calibration outputs for conventional coal electricity plants by U.S. state
L2241.elec_USA_coalret_base %>%
left_join_error_no_match(L2234.StubTechProd_elecS_USA,
by = c("region", "supplysector", "subsector", "technology" = "stub.technology", "year")) %>%
left_join_error_no_match(fraction_coal_gen_retire, by = "region") %>%
rename(calOutput_OLD = calOutputValue) %>%
mutate(calOutputValue = if_else(!grepl("_retire_", stub.technology),
calOutput_OLD * (1 - retire_frac),
calOutput_OLD * retire_frac),
tech.share.weight = if_else(calOutputValue > 0, 1, 0)) %>%
select(LEVEL2_DATA_NAMES[["StubTechProd"]]) ->
L2241.StubTechProd_elec_coalret_USA
# Create a table to read in efficiencies for the new technologies in calibration years
# L2241.StubTechEff_elec_USA_coalret: Efficiencies of U.S. conventional coal electricity plants in calibration years
L2241.elec_USA_coalret_base %>%
left_join_error_no_match(L2234.StubTechEff_elecS_USA,
by = c("region", "supplysector", "subsector", "technology" = "stub.technology", "year")) %>%
select(LEVEL2_DATA_NAMES[["StubTechEff"]]) ->
L2241.StubTechEff_elec_coalret_USA
# Create a table to read in s-curve retirement parameters for the new technologies
# L2241.StubTechSCurve_elec_coalret: s-curve shutdown decider for historic U.S. conventional coal electricity plants
# Note that this updates s-curve retirement parameters for both the existing technologies and the new "retire_2020" technologies
L2241.StubTechProd_elec_coalret_USA %>%
select(LEVEL2_DATA_NAMES[["StubTechYr"]]) %>%
filter(year == max(MODEL_BASE_YEARS)) %>%
left_join_error_no_match(A23.elec_tech_coal_retire_SCurve,
by = c("stub.technology" = "Electric.sector.technology")) -> L2241.StubTechSCurve_elec_coalret_USA
# Create energy and non-energy inputs for the new technologies
# L2241.StubTechMarket_elec_coalret: Energy inputs
L2241.elec_USA_coalret_base %>%
# this is only needed for the new "retire_2020" technologies
filter(grepl("_retire_", stub.technology)) %>%
complete(nesting(supplysector, subsector, stub.technology, technology, region), year = MODEL_YEARS) %>%
left_join_error_no_match(L2234.StubTechMarket_elecS_USA,
by = c("region", "supplysector", "subsector", "technology" = "stub.technology", "year")) %>%
select(LEVEL2_DATA_NAMES[["StubTechMarket"]]) ->
L2241.StubTechMarket_elec_coalret_USA
# Prepare a table for global technologies with all model years
A23.elec_tech_mapping_coal_retire %>%
# this is only needed for the new "retire_2020" technologies
filter(grepl("_retire_", Electric.sector.technology)) %>%
repeat_add_columns(tibble(year = MODEL_YEARS)) %>%
rename(supplysector = Electric.sector, tech = technology, technology = Electric.sector.technology) ->
L2241.elec_USA_coalret
# Share-weights
# L2241.GlobalTechShrwt_elec_coalret: Shareweights for historic U.S. conventional coal electricity plants by load segment
# Global techology shareweights set to zero for all model periods
# Shareweights for stub.technologies which produce in base years are reset to 1 by L2241.StubTechProd_elec_coalret_USA
# Shareweights for all future years are set to zero, as new deployment of the "retire" technologies will not occur
L2241.elec_USA_coalret %>%
left_join_error_no_match(L2234.GlobalTechShrwt_elecS_USA, by = c("tech" = "technology", "year")) %>%
select(LEVEL2_DATA_NAMES[["GlobalTechShrwt"]]) %>%
mutate(share.weight = 0) ->
L2241.GlobalTechShrwt_elec_coalret_USA
# Capacity factor
# L2241.GlobalTechCapFac_elec_coalret: Capacity factors for historic U.S. conventional coal electricity plants by load segment
L2241.elec_USA_coalret %>%
left_join_error_no_match(L2234.GlobalTechCapFac_elecS_USA,
by = c("supplysector", "subsector", "tech" = "technology", "year")) %>%
select(supplysector, subsector, technology, year, capacity.factor) ->
L2241.GlobalTechCapFac_elec_coalret_USA
# Capital costs
# L2241.GlobalTechCapital_elec_coalret: Capital costs of historic U.S. conventional coal electricity plants by load segment
L2241.elec_USA_coalret %>%
left_join_error_no_match(L2234.GlobalTechCapital_elecS_USA,
by = c("supplysector", "subsector", "tech" = "technology", "year")) %>%
select(supplysector, subsector, technology, year, input.capital, capital.overnight, fixed.charge.rate) ->
L2241.GlobalTechCapital_elec_coalret_USA
# Fixed OM costs
# L2241.GlobalTechOMfixed_elec_coalret: Fixed OM costs of historic U.S. conventional coal electricity plants by load segment
L2241.elec_USA_coalret %>%
left_join_error_no_match(L2234.GlobalTechOMfixed_elecS_USA,
by = c("supplysector", "subsector", "tech" = "technology", "year")) %>%
select(supplysector, subsector, technology, year, input.OM.fixed, OM.fixed) ->
L2241.GlobalTechOMfixed_elec_coalret_USA
# Variable OM costs
# L2241.GlobalTechOMvar_elec_coalret: Variable OM costs of historic U.S. conventional coal electricity plants by load segment
L2241.elec_USA_coalret %>%
left_join_error_no_match(L2234.GlobalTechOMvar_elecS_USA,
by = c("supplysector", "subsector", "tech" = "technology", "year")) %>%
select(supplysector, subsector, technology, year, input.OM.var, OM.var) ->
L2241.GlobalTechOMvar_elec_coalret_USA
# Efficiencies for future years - read in in the global technology database
# L2241.GlobalTechEff_elec_coalret: Efficiencies of historic U.S. conventional coal electricity plants by load segment
L2241.elec_USA_coalret %>%
left_join_error_no_match(L2234.GlobalTechEff_elecS_USA,
by = c("supplysector", "subsector", "tech" = "technology", "year")) %>%
select(supplysector, subsector, technology, year, minicam.energy.input, efficiency) ->
L2241.GlobalTechEff_elec_coalret_USA
# Profit Shutdown decider
# L2241.GlobalTechProfitShutdown_elec_coalret: Profit shut-down decider for historic U.S. conventional coal electricity plants by load segment
L2241.elec_USA_coalret %>%
filter(year >= max(MODEL_BASE_YEARS)) %>%
left_join_error_no_match(L2234.GlobalTechProfitShutdown_elecS_USA,
by = c("supplysector", "subsector", "tech" = "technology", "year")) %>%
select(supplysector, subsector, technology, year, median.shutdown.point, profit.shutdown.steepness) ->
L2241.GlobalTechProfitShutdown_elec_coalret_USA
# ===================================================
# Vintage coal plants which operate beyond 2015
# Create tables of coal units operating in 2018 that include vintage, capacity, generation and planned retirement year.
eia_860_data_2018 %>%
# Use nameplate capacity for now. Not sure if summer capacity makes more sense
mutate(unit.capacity.MW = if_else(is.na(Nameplate.Capacity..MW.), Summer.Capacity..MW., Nameplate.Capacity..MW.)) %>%
left_join_error_no_match(prime_mover_map,
by = c("Prime.Mover" = "Reported.Prime.Mover", "Energy.Source.1" = "Reported.Fuel.Type.Code")) %>%
filter(gcam_fuel == "coal") %>%
select(State, Plant.Code, Generator.ID, Operating.Year, Planned.Retirement.Year, capacity = unit.capacity.MW) %>%
# Obtain unit/generator-level generation in 2015 from generator-level generation data in Form 923.
# 10 units are missing geneation data in eia_923_data_2018. LJENM throws error; use left_join for now
left_join(eia_923_data_2018 %>%
rename(generation = Net.Generation.Year.To.Date),
by = c("State", "Generator.ID" = "Generator.Id", "Plant.Code" = "Plant.Id")) %>%
replace_na(list(generation = as.integer(0))) %>%
# a couple of plants in MO, kY, and MI have negative generation values - reset to zero
mutate(generation = if_else(generation < 0, as.integer(0), generation)) ->
L2241.coal_units_gen_2018
# The Planned.Retirement.Year variable reflects planned retirements.
# When no Planned.Retirement.Year is available, we assume a maximum lifetime of 80 years
L2241.coal_units_gen_2018 %>%
# Categorize coal units by vintage bins. We stick with 5-year bins for now
mutate(vintage.bin = cut(Operating.Year, breaks = gcamusa.COAL_VINTAGE_BREAKS, labels = gcamusa.COAL_VINTAGE_LABELS),
Planned.Retirement.Year = as.numeric(Planned.Retirement.Year)) %>%
# For units without a Planned.Retirement.Year, we assume a maximum lifetime of 80 years
mutate(Retirement.Year = if_else(is.na(Planned.Retirement.Year),
Operating.Year + gcamusa.AVG_COAL_PLANT_LIFETIME,
Planned.Retirement.Year)) ->
L2241.coal_units_ret_2018
# Create a table of generation and capacity-weighted lifetime from 2015 and by state and vintage
L2241.coal_units_ret_2018 %>%
# Calculate lifetime from 2018, which is model base year
mutate(cap.lifetime = capacity * (Retirement.Year - max(MODEL_BASE_YEARS))) %>%
group_by(State, vintage.bin) %>%
summarise(lifetime = round(sum(cap.lifetime) / sum(capacity), 0), generation = sum(generation)) %>%
mutate(generation = generation * CONV_MWH_GJ * CONV_GJ_EJ,
# For units with 0 or negative expected lifetime, we will set lifetime to 1 to avoid calibration issues
lifetime = replace(lifetime, lifetime < 0, 1)) %>%
ungroup() %>%
# Keep share of each vintage bin of the total generation in each state ready to be applied to
# calibrated value in 2015
group_by(State) %>%
mutate(share.vintage = generation / sum(generation)) %>%
ungroup() ->
L2241.coal_vintage_gen_2018
# Apply vintage share by state to calibrated values for slow retire component and create table to be read in
L2241.coal_vintage_gen_2018 %>%
rename(region = State) %>%
# LJENM is intended to duplicate rows so production can be allocated across vintages; use left_join to avoid error
left_join(L2241.StubTechProd_elec_coalret_USA %>%
filter(subsector == "coal",
year == max(MODEL_BASE_YEARS),
!grepl("retire", stub.technology)),
by = "region") %>%
filter(!is.na(calOutputValue), calOutputValue != 0) %>%
mutate(calOutputValue = calOutputValue * share.vintage,
# Create new technologies. Naming the variable as stub.technology.new so that we can use stub.technology as reference later
stub.technology.new = paste(stub.technology, vintage.bin, sep = " "),
year = max(MODEL_BASE_YEARS), share.weight.year = max(MODEL_BASE_YEARS),
subs.share.weight = 1, tech.share.weight = 1) %>%
# Select variables. For now, include lifetime and vintage.bin as well. We'll remove it later
select(LEVEL2_DATA_NAMES[["StubTechProd"]], stub.technology.new, lifetime, vintage.bin) ->
L2241.StubTechProd_coal_vintage_USA
# Create a table to read in S-curve parameters for vintage bin techs by state
L2241.StubTechProd_coal_vintage_USA %>%
mutate(stub.technology = stub.technology.new) %>%
select(LEVEL2_DATA_NAMES[["StubTechLifetime"]]) %>%
mutate(steepness = gcamusa.COAL_RETIRE_STEEPNESS,
half.life = round(lifetime * (gcamusa.AVG_COAL_PLANT_HALFLIFE / gcamusa.AVG_COAL_PLANT_LIFETIME), 0)) ->
L2241.StubTechSCurve_coal_vintage_USA
# Read in profit shutdown decider for vintage technologies
L2241.StubTechProd_coal_vintage_USA %>%
mutate(stub.technology = stub.technology.new) %>%
select(LEVEL2_DATA_NAMES[["StubTechLifetime"]]) %>%
mutate(median.shutdown.point = gcamusa.MEDIAN_SHUTDOWN_POINT,
profit.shutdown.steepness = gcamusa.PROFIT_SHUTDOWN_STEEPNESS) %>%
select(LEVEL2_DATA_NAMES[["StubTechProfitShutdown"]]) ->
L2241.StubTechProfitShutdown_coal_vintage_USA
# Create a table to read in energy inputs and efficiencies for the new technologies in calibration years.
# Assuming state average efficiency for all vintages since historically, there is not much
# correlation between efficiency of a generator and its vintage.
L2241.StubTechProd_coal_vintage_USA %>%
select(LEVEL2_DATA_NAMES[["StubTechYr"]], stub.technology.new) %>%
complete(nesting(region, supplysector, subsector, stub.technology, stub.technology.new), year = MODEL_BASE_YEARS) %>%
left_join_error_no_match(L2241.StubTechEff_elec_coalret_USA,
by = c("region", "supplysector", "subsector", "stub.technology", "year")) %>%
mutate(stub.technology = stub.technology.new) %>%
select(LEVEL2_DATA_NAMES[["StubTechEff"]]) ->
L2241.StubTechEff_coal_vintage_USA
# Read in energy inputs for future periods
L2241.StubTechEff_coal_vintage_USA %>%
filter(year == max(MODEL_BASE_YEARS)) %>%
select(-efficiency, -year) %>%
repeat_add_columns(tibble(year = MODEL_FUTURE_YEARS)) ->
L2241.StubTechMarket_coal_vintage_USA
# Create tables to read in energy and non-energy inputs for future years in global technology database
# Create a basic strucure with common variables
L2241.StubTechProd_coal_vintage_USA %>%
select(supplysector, subsector, stub.technology, stub.technology.new, year) %>%
unique() %>%
complete(nesting(supplysector, subsector, stub.technology, stub.technology.new), year = MODEL_YEARS) ->
L2241.GlobalTech
# Energy inputs: Efficiency
L2241.GlobalTech %>%
left_join_error_no_match(L2234.GlobalTechEff_elecS_USA,
by = c("supplysector", "subsector", "stub.technology" = "technology", "year")) %>%
rename(sector.name = supplysector, subsector.name = subsector, technology = stub.technology.new) %>%
select(LEVEL2_DATA_NAMES[["GlobalTechEff"]]) ->
L2241.GlobalTechEff_coal_vintage_USA
# Non-energy inputs: capacity factor, capital costs, fixed and variable OM costs
# Capacity factor:
L2241.GlobalTech %>%
left_join_error_no_match(L2234.GlobalTechCapFac_elecS_USA,
by = c("supplysector", "subsector", "stub.technology" = "technology", "year")) %>%
rename(sector.name = supplysector, subsector.name = subsector, technology = stub.technology.new) %>%
select(LEVEL2_DATA_NAMES[["GlobalTechCapFac"]]) ->
L2241.GlobalTechCapFac_coal_vintage_USA
# Capital costs:
L2241.GlobalTech %>%
left_join_error_no_match(L2234.GlobalTechCapital_elecS_USA,
by = c("supplysector", "subsector", "stub.technology" = "technology", "year")) %>%
rename(sector.name = supplysector, subsector.name = subsector, technology = stub.technology.new) %>%
select(LEVEL2_DATA_NAMES[["GlobalTechCapital"]]) ->
L2241.GlobalTechCapital_coal_vintage_USA
# Fixed OM costs:
L2241.GlobalTech %>%
left_join_error_no_match(L2234.GlobalTechOMfixed_elecS_USA,
by = c("supplysector", "subsector", "stub.technology" = "technology", "year")) %>%
rename(sector.name = supplysector, subsector.name = subsector, technology = stub.technology.new) %>%
select(LEVEL2_DATA_NAMES[["GlobalTechOMfixed"]]) ->
L2241.GlobalTechOMfixed_coal_vintage_USA
# Variable OM costs
L2241.GlobalTech %>%
left_join_error_no_match(L2234.GlobalTechOMvar_elecS_USA,
by = c("supplysector", "subsector", "stub.technology" = "technology", "year")) %>%
rename(sector.name = supplysector, subsector.name = subsector, technology = stub.technology.new) %>%
select(LEVEL2_DATA_NAMES[["GlobalTechOMvar"]]) ->
L2241.GlobalTechOMvar_coal_vintage_USA
# Create table to read in shareweights in future years in global technology database
L2241.GlobalTech %>%
mutate(share.weight = 0) %>%
rename(sector.name = supplysector, subsector.name = subsector, technology = stub.technology.new) %>%
select(LEVEL2_DATA_NAMES[["GlobalTechShrwt"]]) ->
L2241.GlobalTechShrwt_coal_vintage_USA
# Clean up StubTechProd table
L2241.StubTechProd_coal_vintage_USA %>%
mutate(stub.technology = stub.technology.new) %>%
select(LEVEL2_DATA_NAMES[["StubTechProd"]]) %>%
complete(nesting(region, supplysector, subsector, stub.technology), year = MODEL_BASE_YEARS) %>%
mutate(share.weight.year = year) %>%
# Read in zero caloutputvalue for other base years
replace_na(list(calOutputValue = 0, subs.share.weight = 1, tech.share.weight = 0)) ->
L2241.StubTechProd_coal_vintage_USA
# Read in zero calOutputValue for 2010 for existing coal conv pul technology
L2241.StubTechProd_elec_coalret_USA %>%
filter(subsector == "coal",
year == max(MODEL_BASE_YEARS),
calOutputValue != 0,
!grepl("_retire_", stub.technology),
region %in% unique(L2241.coal_vintage_gen_2018$State)) %>%
mutate(calOutputValue = 0, tech.share.weight = 0) %>%
select(LEVEL2_DATA_NAMES[["StubTechProd"]]) %>%
bind_rows(L2241.StubTechProd_coal_vintage_USA) %>%
arrange(region, year) ->
L2241.StubTechProd_coal_vintage_USA
# ===================================================
# Produce outputs
L2241.StubTechProd_elec_coalret_USA %>%
add_title("Calibration outputs for conventional coal electricity plants by load segment and U.S. state") %>%
add_units("EJ") %>%
add_comments("Conventional coal electricity outpts are allocated to fast retire and slow retire technologies") %>%
add_precursors("gcam-usa/A23.elec_tech_mapping_coal_retire",
"gcam-usa/states_subregions",
"gcam-usa/EIA_coal_generation_2018",
"L2234.StubTechProd_elecS_USA") ->
L2241.StubTechProd_elec_coalret_USA
L2241.StubTechEff_elec_coalret_USA %>%
add_title("Efficiencies of U.S. conventional coal electricity plants by load segment and state in calibration years") %>%
add_units("Unitless") %>%
add_comments("Set the same efficiency values for fast retire and slow retire technologies") %>%
add_precursors("gcam-usa/A23.elec_tech_mapping_coal_retire",
"L2234.StubTechEff_elecS_USA") ->
L2241.StubTechEff_elec_coalret_USA
L2241.StubTechSCurve_elec_coalret_USA %>%
add_title("S-curve shutdown decider for historic U.S. conventional coal electricity plants by load segment and state") %>%
add_units("Unitless") %>%
add_comments("Separate fast retire and slow retire technologies") %>%
add_precursors("gcam-usa/A23.elec_tech_mapping_coal_retire",
"gcam-usa/A23.elec_tech_coal_retire_SCurve") ->
L2241.StubTechSCurve_elec_coalret_USA
L2241.StubTechMarket_elec_coalret_USA %>%
add_title("Energy inputs of historic U.S. conventional coal electricity plants by load segment and state in all model years") %>%
add_units("Unitless") %>%
add_comments("Separate fast retire and slow retire technologies") %>%
add_precursors("gcam-usa/A23.elec_tech_mapping_coal_retire",
"L2234.StubTechMarket_elecS_USA") ->
L2241.StubTechMarket_elec_coalret_USA
L2241.GlobalTechShrwt_elec_coalret_USA %>%
add_title("Shareweights for historic U.S. conventional coal electricity plants by load segment and model year") %>%
add_units("Unitless") %>%
add_comments("Separate fast retire and slow retire technologies") %>%
add_precursors("gcam-usa/A23.elec_tech_mapping_coal_retire",
"L2234.GlobalTechShrwt_elecS_USA") ->
L2241.GlobalTechShrwt_elec_coalret_USA
L2241.GlobalTechCapFac_elec_coalret_USA %>%
add_title("Capacity factors for historic U.S. conventional coal electricity plants by load segment and model year") %>%
add_units("Unitless") %>%
add_comments("Set the same capacity factor values for fast retire and slow retire technologies") %>%
add_precursors("gcam-usa/A23.elec_tech_mapping_coal_retire",
"L2234.GlobalTechCapFac_elecS_USA") ->
L2241.GlobalTechCapFac_elec_coalret_USA
L2241.GlobalTechCapital_elec_coalret_USA %>%
add_title("Capital costs of historic U.S. conventional coal electricity plants by load segment and model year") %>%
add_units("1975$ per kW; unitless (fixed.charge.rate)") %>%
add_comments("Set the same capital cost values for fast retire and slow retire technologies") %>%
add_precursors("gcam-usa/A23.elec_tech_mapping_coal_retire",
"L2234.GlobalTechCapital_elecS_USA") ->
L2241.GlobalTechCapital_elec_coalret_USA
L2241.GlobalTechOMfixed_elec_coalret_USA %>%
add_title("Fixed OM costs of historic U.S. conventional coal electricity plants by load segment and model year") %>%
add_units("1975$/kW/yr") %>%
add_comments("Set the same fixed OM cost values for fast retire and slow retire technologies") %>%
add_precursors("gcam-usa/A23.elec_tech_mapping_coal_retire",
"L2234.GlobalTechOMfixed_elecS_USA") ->
L2241.GlobalTechOMfixed_elec_coalret_USA
L2241.GlobalTechOMvar_elec_coalret_USA %>%
add_title("Variable OM costs of historic U.S. conventional coal electricity plants by load segment and model year") %>%
add_units("1975$/MWh") %>%
add_comments("Set the same variable OM cost values for fast retire and slow retire technologies") %>%
add_precursors("gcam-usa/A23.elec_tech_mapping_coal_retire",
"L2234.GlobalTechOMvar_elecS_USA") ->
L2241.GlobalTechOMvar_elec_coalret_USA
L2241.GlobalTechEff_elec_coalret_USA %>%
add_title("Efficiencies of historic U.S. conventional coal electricity plants by load segment and model year") %>%
add_units("Unitless") %>%
add_comments("Set the same efficiency values for fast retire and slow retire technologies") %>%
add_precursors("gcam-usa/A23.elec_tech_mapping_coal_retire",
"L2234.GlobalTechEff_elecS_USA") ->
L2241.GlobalTechEff_elec_coalret_USA
L2241.GlobalTechProfitShutdown_elec_coalret_USA %>%
add_title("Profit shut-down decider for historic U.S. conventional coal electricity plants by load segment and model year") %>%
add_units("Unitless") %>%
add_comments("Set the same values for fast retire and slow retire technologies") %>%
add_precursors("gcam-usa/A23.elec_tech_mapping_coal_retire",
"L2234.GlobalTechProfitShutdown_elecS_USA") ->
L2241.GlobalTechProfitShutdown_elec_coalret_USA
L2241.StubTechProd_coal_vintage_USA %>%
add_title("Calibration outputs for slow_retire conventional coal electricity plants by detailed vintage and state") %>%
add_units("EJ") %>%
add_comments("Generation shares by vintage are calculated based on EIA unit-level 2015 data") %>%
add_comments("Generation shares by vintage are then applied to slow_retire stub-technology 2010 generation in each state") %>%
add_comments("Generation in other base years are set to zero to each vintage stub-technology") %>%
add_legacy_name("L2241.StubTechProd_coal_vintage_USA") %>%
add_precursors("gcam-usa/prime_mover_map",
"gcam-usa/EIA_860_generators_existing_2018",
"gcam-usa/EIA_923_generator_gen_fuel_2018",
"L2241.StubTechProd_elec_coalret_USA") ->
L2241.StubTechProd_coal_vintage_USA
L2241.StubTechEff_coal_vintage_USA %>%
add_title("Efficiencies of slow_retire conventional coal electricity plants by detailed vintage and state in calibration years") %>%
add_units("Unitless") %>%
add_comments("Apply the same efficiencies to all vintage groups") %>%
add_legacy_name("L2241.StubTechEff_coal_vintage_USA") %>%
same_precursors_as("L2241.StubTechProd_coal_vintage_USA") %>%
add_precursors("L2241.StubTechEff_elec_coalret_USA") ->
L2241.StubTechEff_coal_vintage_USA
L2241.StubTechSCurve_coal_vintage_USA %>%
add_title("Lifetime and retirement parameters for slow_retire conventional coal electricity plants from 2010 by detailed vintage and state") %>%
add_units("Years") %>%
add_comments("Average lifetime for each vintage group is weighted by capacity, based on EIA unit-level 2015 data") %>%
add_comments("Only for vintage groups with greater than 20 years of lifetime remaining") %>%
same_precursors_as("L2241.StubTechProd_coal_vintage_USA") %>%
add_precursors("gcam-usa/EIA_860_generators_retired_2018") ->
L2241.StubTechSCurve_coal_vintage_USA
L2241.StubTechProfitShutdown_coal_vintage_USA %>%
add_title("Profit shutdown decider for slow_retire conventional coal electricity plants by detailed vintage and state") %>%
add_units("Unitless") %>%
add_comments("Same to all vintage groups") %>%
add_legacy_name("L2241.StubTechProfitShutdown_coal_vintage_USA") %>%
same_precursors_as("L2241.StubTechSCurve_coal_vintage_USA") ->
L2241.StubTechProfitShutdown_coal_vintage_USA
L2241.StubTechMarket_coal_vintage_USA %>%
add_title("Energy inputs for slow_retire conventional coal electricity plants by detailed vintage and state") %>%
add_units("Unitless") %>%
add_comments("Same to all vintage groups") %>%
add_legacy_name("L2241.StubTechMarket_coal_vintage_USA") %>%
same_precursors_as("L2241.StubTechEff_coal_vintage_USA") ->
L2241.StubTechMarket_coal_vintage_USA
L2241.GlobalTechShrwt_coal_vintage_USA %>%
add_title("Shareweights for slow_retire conventional coal electricity plants by detailed vintage and state") %>%
add_units("Unitless") %>%
add_comments("Set zero shareweights for all vintage stub-technologies") %>%
add_legacy_name("L2241.GlobalTechShrwt_coal_vintage_USA") %>%
same_precursors_as("L2241.StubTechProd_coal_vintage_USA") ->
L2241.GlobalTechShrwt_coal_vintage_USA
L2241.GlobalTechEff_coal_vintage_USA %>%
add_title("Efficiencies for slow_retire conventional coal electricity plants by detailed vintage and state") %>%
add_units("Unitless") %>%
add_comments("Same to all vintage groups") %>%
add_legacy_name("L2241.GlobalTechEff_coal_vintage_USA") %>%
same_precursors_as("L2241.StubTechProd_coal_vintage_USA") %>%
add_precursors("L2241.GlobalTechEff_elec_coalret_USA") ->
L2241.GlobalTechEff_coal_vintage_USA
L2241.GlobalTechCapFac_coal_vintage_USA %>%
add_title("Capacity factors for slow_retire conventional coal electricity plants by detailed vintage and state") %>%
add_units("Unitless") %>%
add_comments("Same to all vintage groups") %>%
add_legacy_name("L2241.GlobalTechCapFac_coal_vintage_USA") %>%
same_precursors_as("L2241.StubTechProd_coal_vintage_USA") %>%
add_precursors("L2241.GlobalTechCapFac_elec_coalret_USA") ->
L2241.GlobalTechCapFac_coal_vintage_USA
L2241.GlobalTechCapital_coal_vintage_USA %>%
add_title("Capital costs for slow_retire conventional coal electricity plants by detailed vintage and state") %>%
add_units("1975$ per kW; unitless (fixed.charge.rate)") %>%
add_comments("Same to all vintage groups") %>%
add_legacy_name("L2241.GlobalTechCapital_coal_vintage_USA") %>%
same_precursors_as("L2241.StubTechProd_coal_vintage_USA") %>%
add_precursors("L2241.GlobalTechCapital_elec_coalret_USA") ->
L2241.GlobalTechCapital_coal_vintage_USA
L2241.GlobalTechOMfixed_coal_vintage_USA %>%
add_title("Fixed OM costs for slow_retire conventional coal electricity plants by detailed vintage and state") %>%
add_units("1975$/kW/yr") %>%
add_comments("Same to all vintage groups") %>%
add_legacy_name("L2241.GlobalTechOMfixed_coal_vintage_USA") %>%
same_precursors_as("L2241.StubTechProd_coal_vintage_USA") %>%
add_precursors("L2241.GlobalTechOMfixed_elec_coalret_USA") ->
L2241.GlobalTechOMfixed_coal_vintage_USA
L2241.GlobalTechOMvar_coal_vintage_USA %>%
add_title("Variable OM costs for slow_retire conventional coal electricity plants by detailed vintage and state") %>%
add_units("1975$/MWh") %>%
add_comments("Same to all vintage groups") %>%
add_legacy_name("L2241.GlobalTechOMvar_coal_vintage_USA") %>%
same_precursors_as("L2241.StubTechProd_coal_vintage_USA") %>%
add_precursors("L2241.GlobalTechOMvar_elec_coalret_USA") ->
L2241.GlobalTechOMvar_coal_vintage_USA
return_data(L2241.StubTechProd_elec_coalret_USA,
L2241.StubTechEff_elec_coalret_USA,
L2241.StubTechSCurve_elec_coalret_USA,
L2241.StubTechMarket_elec_coalret_USA,
L2241.GlobalTechShrwt_elec_coalret_USA,
L2241.GlobalTechCapFac_elec_coalret_USA,
L2241.GlobalTechCapital_elec_coalret_USA,
L2241.GlobalTechOMfixed_elec_coalret_USA,
L2241.GlobalTechOMvar_elec_coalret_USA,
L2241.GlobalTechEff_elec_coalret_USA,
L2241.GlobalTechProfitShutdown_elec_coalret_USA,
# vintage of existing techs
L2241.StubTechProd_coal_vintage_USA,
L2241.StubTechEff_coal_vintage_USA,
L2241.StubTechSCurve_coal_vintage_USA,
L2241.StubTechProfitShutdown_coal_vintage_USA,
L2241.StubTechMarket_coal_vintage_USA,
L2241.GlobalTechShrwt_coal_vintage_USA,
L2241.GlobalTechEff_coal_vintage_USA,
L2241.GlobalTechCapFac_coal_vintage_USA,
L2241.GlobalTechCapital_coal_vintage_USA,
L2241.GlobalTechOMfixed_coal_vintage_USA,
L2241.GlobalTechOMvar_coal_vintage_USA)
} else {
stop("Unknown command")
}
}
JGCRI/gcamdata documentation built on March 21, 2023, 2:19 a.m.
R Package Documentation
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Defines functions module_gcamusa_L2241.coal_retire_USA
Documented in module_gcamusa_L2241.coal_retire_USA
# Copyright 2019 Battelle Memorial Institute; see the LICENSE file.
#' module_gcamusa_L2241.coal_retire_USA
#'
#' Generates GCAM-USA model input for removing coal capacity retired between 2011 and 2015, 2016 and 2020, and vintaging capacity which continues to operate beyond 2020.
#'
#' @param command API command to execute
#' @param ... other optional parameters, depending on command
#' @return Depends on \code{command}: either a vector of required inputs,
#' a vector of output names, or (if \code{command} is "MAKE") all
#' the generated outputs: \code{L2241.StubTechProd_elec_coalret_USA}, \code{L2241.StubTechEff_elec_coalret_USA}, \code{L2241.StubTechSCurve_elec_coalret_USA},
#' \code{L2241.StubTechMarket_elec_coalret_USA}, \code{L2241.GlobalTechShrwt_elec_coalret_USA},
#' \code{L2241.GlobalTechCapFac_elec_coalret_USA}, \code{L2241.GlobalTechCapital_elec_coalret_USA}, \code{L2241.GlobalTechOMfixed_elec_coalret_USA},
#' \code{L2241.GlobalTechOMvar_elec_coalret_USA}, \code{L2241.GlobalTechEff_elec_coalret_USA}, \code{L2241.GlobalTechProfitShutdown_elec_coalret_USA},
#' \code{L2241.StubTechProd_coal_vintage_USA}, \code{L2241.StubTechEff_coal_vintage_USA}, \code{L2241.StubTechSCurve_coal_vintage_USA},
#' \code{L2241.StubTechProfitShutdown_coal_vintage_USA}, \code{L2241.StubTechMarket_coal_vintage_USA}, \code{L2241.GlobalTechShrwt_coal_vintage_USA},
#' \code{L2241.GlobalTechEff_coal_vintage_USA}, \code{L2241.GlobalTechCapFac_coal_vintage_USA}, \code{L2241.GlobalTechCapital_coal_vintage_USA},
#' \code{L2241.GlobalTechOMfixed_coal_vintage_USA}, \code{L2241.GlobalTechOMvar_coal_vintage_USA}.
#' The corresponding file in the original data system was \code{L2241.coal_slow_fast_retire_USA.R} (gcam-usa level2).
#' @details This chunk creates add-on files to take the fraction of reduction in coal electricity generation between 2010 and 2015 for each state and
#' forces that generation to retire in 2015. It also tempers retirement assumptions for the remaining coal fleet to allow
#' most 2015 generation to continue through mid-century.
#' @importFrom assertthat assert_that
#' @importFrom dplyr filter mutate select
#' @importFrom tidyr gather spread
#' @author RC Aug 2018
module_gcamusa_L2241.coal_retire_USA <- function(command, ...) {
if(command == driver.DECLARE_INPUTS) {
return(c(FILE = "gcam-usa/states_subregions",
FILE = "gcam-usa/A23.elec_tech_mapping_coal_retire",
FILE = "gcam-usa/A23.elec_tech_coal_retire_SCurve",
FILE = "gcam-usa/EIA_coal_generation_2018",
"L2234.StubTechProd_elecS_USA",
"L2234.StubTechEff_elecS_USA",
"L2234.StubTechMarket_elecS_USA",
"L2234.GlobalTechShrwt_elecS_USA",
"L2234.GlobalTechCapFac_elecS_USA",
"L2234.GlobalTechCapital_elecS_USA",
"L2234.GlobalTechOMfixed_elecS_USA",
"L2234.GlobalTechOMvar_elecS_USA",
"L2234.GlobalTechEff_elecS_USA",
"L2234.GlobalTechProfitShutdown_elecS_USA",
FILE = "gcam-usa/prime_mover_map",
FILE = "gcam-usa/EIA_860_generators_existing_2018",
FILE = "gcam-usa/EIA_860_generators_retired_2018",
FILE = "gcam-usa/EIA_923_generator_gen_fuel_2018"))
} else if(command == driver.DECLARE_OUTPUTS) {
return(c("L2241.StubTechProd_elec_coalret_USA",
"L2241.StubTechEff_elec_coalret_USA",
"L2241.StubTechSCurve_elec_coalret_USA",
"L2241.StubTechMarket_elec_coalret_USA",
"L2241.GlobalTechShrwt_elec_coalret_USA",
"L2241.GlobalTechCapFac_elec_coalret_USA",
"L2241.GlobalTechCapital_elec_coalret_USA",
"L2241.GlobalTechOMfixed_elec_coalret_USA",
"L2241.GlobalTechOMvar_elec_coalret_USA",
"L2241.GlobalTechEff_elec_coalret_USA",
"L2241.GlobalTechProfitShutdown_elec_coalret_USA",
"L2241.StubTechProd_coal_vintage_USA",
"L2241.StubTechEff_coal_vintage_USA",
"L2241.StubTechSCurve_coal_vintage_USA",
"L2241.StubTechProfitShutdown_coal_vintage_USA",
"L2241.StubTechMarket_coal_vintage_USA",
"L2241.GlobalTechShrwt_coal_vintage_USA",
"L2241.GlobalTechEff_coal_vintage_USA",
"L2241.GlobalTechCapFac_coal_vintage_USA",
"L2241.GlobalTechCapital_coal_vintage_USA",
"L2241.GlobalTechOMfixed_coal_vintage_USA",
"L2241.GlobalTechOMvar_coal_vintage_USA"))
} else if(command == driver.MAKE) {
all_data <- list(...)[[1]]
# silence package check notes
region <- year <- supplysector <- subsector <- stub.technology <- technology <- tech <- stub.technology.new <-
Electric.sector <- Electric.sector.technology <- source.key <- state <- state_name <- value <- retire_frac <-
fuel <- sector.name <- subsector.name <- median.shutdown.point <- profit.shutdown.steepness <-
share.weight.year <- subs.share.weight <- share.weight <- tech.share.weight <- share.vintage <-
calOutputValue <- calOutput_OLD <- capacity.factor <- input.capital <- capital.overnight <- fixed.charge.rate <-
input.OM.fixed <- OM.fixed <- input.OM.var <- OM.var <- minicam.energy.input <- efficiency <-
unit.capacity.MW <- Retirement.Year <- Nameplate.Capacity..MW. <- Summer.Capacity..MW. <- State <-
Plant.Code <- Generator.ID <- Operating.Year <- Planned.Retirement.Year <- Net.Generation.Year.To.Date <-
Status <- gen_share <- Prime.Mover <- Reported.Prime.Mover <- Energy.Source.1 <- Reported.Fuel.Type.Code <-
vintage.bin <- capacity <- generation <- gcam_fuel <- cap.lifetime <- lifetime <- avg.lifetime <- NULL
# Load required inputs
states_subregions <- get_data(all_data, "gcam-usa/states_subregions")
A23.elec_tech_mapping_coal_retire <- get_data(all_data, "gcam-usa/A23.elec_tech_mapping_coal_retire", strip_attributes = TRUE)
A23.elec_tech_coal_retire_SCurve <- get_data(all_data, "gcam-usa/A23.elec_tech_coal_retire_SCurve", strip_attributes = TRUE) %>%
select(-Electric.sector)
EIA_coal_generation_2018 <- get_data(all_data, "gcam-usa/EIA_coal_generation_2018", strip_attributes = TRUE)
L2234.StubTechProd_elecS_USA <- get_data(all_data, "L2234.StubTechProd_elecS_USA", strip_attributes = TRUE)
L2234.StubTechEff_elecS_USA <- get_data(all_data, "L2234.StubTechEff_elecS_USA", strip_attributes = TRUE)
L2234.StubTechMarket_elecS_USA <- get_data(all_data, "L2234.StubTechMarket_elecS_USA", strip_attributes = TRUE)
L2234.GlobalTechShrwt_elecS_USA <- get_data(all_data, "L2234.GlobalTechShrwt_elecS_USA", strip_attributes = TRUE)
L2234.GlobalTechCapFac_elecS_USA <- get_data(all_data, "L2234.GlobalTechCapFac_elecS_USA", strip_attributes = TRUE)
L2234.GlobalTechCapital_elecS_USA <- get_data(all_data, "L2234.GlobalTechCapital_elecS_USA", strip_attributes = TRUE)
L2234.GlobalTechOMfixed_elecS_USA <- get_data(all_data, "L2234.GlobalTechOMfixed_elecS_USA", strip_attributes = TRUE)
L2234.GlobalTechOMvar_elecS_USA <- get_data(all_data, "L2234.GlobalTechOMvar_elecS_USA", strip_attributes = TRUE)
L2234.GlobalTechEff_elecS_USA <- get_data(all_data, "L2234.GlobalTechEff_elecS_USA", strip_attributes = TRUE)
L2234.GlobalTechProfitShutdown_elecS_USA <- get_data(all_data, "L2234.GlobalTechProfitShutdown_elecS_USA", strip_attributes = TRUE)
prime_mover_map <- get_data(all_data, "gcam-usa/prime_mover_map")
eia_860_data_2018 <- get_data(all_data, "gcam-usa/EIA_860_generators_existing_2018")
eia_923_data_2018 <- get_data(all_data, "gcam-usa/EIA_923_generator_gen_fuel_2018")
# ===================================================
# Perform computations
# Prepare a table for stub technologies with all states and base years
A23.elec_tech_mapping_coal_retire %>%
repeat_add_columns(tibble(year = MODEL_BASE_YEARS)) %>%
repeat_add_columns(tibble(region = gcamusa.STATES)) %>%
rename(supplysector = Electric.sector, stub.technology = Electric.sector.technology) ->
L2241.elec_USA_coalret_base
# Calculate fraction of historical (2015) vintage retired by 2018
EIA_coal_gen_years <- EIA_coal_generation_2018 %>%
gather_years()
EIA_coal_gen_years <- unique(EIA_coal_gen_years$year)
EIA_coal_generation_2018 %>%
select(-source.key) %>%
gather_years() %>%
replace_na(list(value = 0)) %>%
# The EIA coal generation data set (EIA_coal_generation_2018) begins in 2001
# This is fine for the data's intended purposes, but causes test_timeshift to fail when max(MODEL_BASE_YEARS) < 2001
# Backfill historical values with 2001 values to avoid test_timeshift failure
complete(nesting(fuel, state, units), year = c(HISTORICAL_YEARS, EIA_coal_gen_years)) %>%
group_by(fuel, state, units) %>%
mutate(value = approx_fun(year, value, rule = 2)) %>%
ungroup() %>%
rename(state_name = state) %>%
left_join_error_no_match(states_subregions %>%
select(state, state_name),
by = "state_name") %>%
filter(year %in% c(max(MODEL_BASE_YEARS), max(year))) %>%
select(state, year, units, value) %>%
group_by(state) %>%
mutate(retire_frac = 1 - (value / value[year==max(MODEL_BASE_YEARS)])) %>%
filter(year == max(year)) %>%
replace_na(list(retire_frac = 0)) %>%
# 4 states (AR, HI, SD, WA) have retirement fractions < 0 (more coal in 2018 than base year) (all are small values besides AR)
# for these states, default all fractions < 0 to 0; this will (slightly) under-estimate coal generation in 2018,
# which is acceptable because 2018 will over-estimate 2020 generation
mutate(retire_frac = if_else(retire_frac < 0, 0, retire_frac)) %>%
select(region = state, retire_frac) -> fraction_coal_gen_retire
# Create two technologies: coal_base_conv pul and coal_base_conv pul_retire_2020
# L2241.StubTechProd_elec_USA_coalret: Calibration outputs for conventional coal electricity plants by U.S. state
L2241.elec_USA_coalret_base %>%
left_join_error_no_match(L2234.StubTechProd_elecS_USA,
by = c("region", "supplysector", "subsector", "technology" = "stub.technology", "year")) %>%
left_join_error_no_match(fraction_coal_gen_retire, by = "region") %>%
rename(calOutput_OLD = calOutputValue) %>%
mutate(calOutputValue = if_else(!grepl("_retire_", stub.technology),
calOutput_OLD * (1 - retire_frac),
calOutput_OLD * retire_frac),
tech.share.weight = if_else(calOutputValue > 0, 1, 0)) %>%
select(LEVEL2_DATA_NAMES[["StubTechProd"]]) ->
L2241.StubTechProd_elec_coalret_USA
# Create a table to read in efficiencies for the new technologies in calibration years
# L2241.StubTechEff_elec_USA_coalret: Efficiencies of U.S. conventional coal electricity plants in calibration years
L2241.elec_USA_coalret_base %>%
left_join_error_no_match(L2234.StubTechEff_elecS_USA,
by = c("region", "supplysector", "subsector", "technology" = "stub.technology", "year")) %>%
select(LEVEL2_DATA_NAMES[["StubTechEff"]]) ->
L2241.StubTechEff_elec_coalret_USA
# Create a table to read in s-curve retirement parameters for the new technologies
# L2241.StubTechSCurve_elec_coalret: s-curve shutdown decider for historic U.S. conventional coal electricity plants
# Note that this updates s-curve retirement parameters for both the existing technologies and the new "retire_2020" technologies
L2241.StubTechProd_elec_coalret_USA %>%
select(LEVEL2_DATA_NAMES[["StubTechYr"]]) %>%
filter(year == max(MODEL_BASE_YEARS)) %>%
left_join_error_no_match(A23.elec_tech_coal_retire_SCurve,
by = c("stub.technology" = "Electric.sector.technology")) -> L2241.StubTechSCurve_elec_coalret_USA
# Create energy and non-energy inputs for the new technologies
# L2241.StubTechMarket_elec_coalret: Energy inputs
L2241.elec_USA_coalret_base %>%
# this is only needed for the new "retire_2020" technologies
filter(grepl("_retire_", stub.technology)) %>%
complete(nesting(supplysector, subsector, stub.technology, technology, region), year = MODEL_YEARS) %>%
left_join_error_no_match(L2234.StubTechMarket_elecS_USA,
by = c("region", "supplysector", "subsector", "technology" = "stub.technology", "year")) %>%
select(LEVEL2_DATA_NAMES[["StubTechMarket"]]) ->
L2241.StubTechMarket_elec_coalret_USA
# Prepare a table for global technologies with all model years
A23.elec_tech_mapping_coal_retire %>%
# this is only needed for the new "retire_2020" technologies
filter(grepl("_retire_", Electric.sector.technology)) %>%
repeat_add_columns(tibble(year = MODEL_YEARS)) %>%
rename(supplysector = Electric.sector, tech = technology, technology = Electric.sector.technology) ->
L2241.elec_USA_coalret
# Share-weights
# L2241.GlobalTechShrwt_elec_coalret: Shareweights for historic U.S. conventional coal electricity plants by load segment
# Global techology shareweights set to zero for all model periods
# Shareweights for stub.technologies which produce in base years are reset to 1 by L2241.StubTechProd_elec_coalret_USA
# Shareweights for all future years are set to zero, as new deployment of the "retire" technologies will not occur
L2241.elec_USA_coalret %>%
left_join_error_no_match(L2234.GlobalTechShrwt_elecS_USA, by = c("tech" = "technology", "year")) %>%
select(LEVEL2_DATA_NAMES[["GlobalTechShrwt"]]) %>%
mutate(share.weight = 0) ->
L2241.GlobalTechShrwt_elec_coalret_USA
# Capacity factor
# L2241.GlobalTechCapFac_elec_coalret: Capacity factors for historic U.S. conventional coal electricity plants by load segment
L2241.elec_USA_coalret %>%
left_join_error_no_match(L2234.GlobalTechCapFac_elecS_USA,
by = c("supplysector", "subsector", "tech" = "technology", "year")) %>%
select(supplysector, subsector, technology, year, capacity.factor) ->
L2241.GlobalTechCapFac_elec_coalret_USA
# Capital costs
# L2241.GlobalTechCapital_elec_coalret: Capital costs of historic U.S. conventional coal electricity plants by load segment
L2241.elec_USA_coalret %>%
left_join_error_no_match(L2234.GlobalTechCapital_elecS_USA,
by = c("supplysector", "subsector", "tech" = "technology", "year")) %>%
select(supplysector, subsector, technology, year, input.capital, capital.overnight, fixed.charge.rate) ->
L2241.GlobalTechCapital_elec_coalret_USA
# Fixed OM costs
# L2241.GlobalTechOMfixed_elec_coalret: Fixed OM costs of historic U.S. conventional coal electricity plants by load segment
L2241.elec_USA_coalret %>%
left_join_error_no_match(L2234.GlobalTechOMfixed_elecS_USA,
by = c("supplysector", "subsector", "tech" = "technology", "year")) %>%
select(supplysector, subsector, technology, year, input.OM.fixed, OM.fixed) ->
L2241.GlobalTechOMfixed_elec_coalret_USA
# Variable OM costs
# L2241.GlobalTechOMvar_elec_coalret: Variable OM costs of historic U.S. conventional coal electricity plants by load segment
L2241.elec_USA_coalret %>%
left_join_error_no_match(L2234.GlobalTechOMvar_elecS_USA,
by = c("supplysector", "subsector", "tech" = "technology", "year")) %>%
select(supplysector, subsector, technology, year, input.OM.var, OM.var) ->
L2241.GlobalTechOMvar_elec_coalret_USA
# Efficiencies for future years - read in in the global technology database
# L2241.GlobalTechEff_elec_coalret: Efficiencies of historic U.S. conventional coal electricity plants by load segment
L2241.elec_USA_coalret %>%
left_join_error_no_match(L2234.GlobalTechEff_elecS_USA,
by = c("supplysector", "subsector", "tech" = "technology", "year")) %>%
select(supplysector, subsector, technology, year, minicam.energy.input, efficiency) ->
L2241.GlobalTechEff_elec_coalret_USA
# Profit Shutdown decider
# L2241.GlobalTechProfitShutdown_elec_coalret: Profit shut-down decider for historic U.S. conventional coal electricity plants by load segment
L2241.elec_USA_coalret %>%
filter(year >= max(MODEL_BASE_YEARS)) %>%
left_join_error_no_match(L2234.GlobalTechProfitShutdown_elecS_USA,
by = c("supplysector", "subsector", "tech" = "technology", "year")) %>%
select(supplysector, subsector, technology, year, median.shutdown.point, profit.shutdown.steepness) ->
L2241.GlobalTechProfitShutdown_elec_coalret_USA
# ===================================================
# Vintage coal plants which operate beyond 2015
# Create tables of coal units operating in 2018 that include vintage, capacity, generation and planned retirement year.
eia_860_data_2018 %>%
# Use nameplate capacity for now. Not sure if summer capacity makes more sense
mutate(unit.capacity.MW = if_else(is.na(Nameplate.Capacity..MW.), Summer.Capacity..MW., Nameplate.Capacity..MW.)) %>%
left_join_error_no_match(prime_mover_map,
by = c("Prime.Mover" = "Reported.Prime.Mover", "Energy.Source.1" = "Reported.Fuel.Type.Code")) %>%
filter(gcam_fuel == "coal") %>%
select(State, Plant.Code, Generator.ID, Operating.Year, Planned.Retirement.Year, capacity = unit.capacity.MW) %>%
# Obtain unit/generator-level generation in 2015 from generator-level generation data in Form 923.
# 10 units are missing geneation data in eia_923_data_2018. LJENM throws error; use left_join for now
left_join(eia_923_data_2018 %>%
rename(generation = Net.Generation.Year.To.Date),
by = c("State", "Generator.ID" = "Generator.Id", "Plant.Code" = "Plant.Id")) %>%
replace_na(list(generation = as.integer(0))) %>%
# a couple of plants in MO, kY, and MI have negative generation values - reset to zero
mutate(generation = if_else(generation < 0, as.integer(0), generation)) ->
L2241.coal_units_gen_2018
# The Planned.Retirement.Year variable reflects planned retirements.
# When no Planned.Retirement.Year is available, we assume a maximum lifetime of 80 years
L2241.coal_units_gen_2018 %>%
# Categorize coal units by vintage bins. We stick with 5-year bins for now
mutate(vintage.bin = cut(Operating.Year, breaks = gcamusa.COAL_VINTAGE_BREAKS, labels = gcamusa.COAL_VINTAGE_LABELS),
Planned.Retirement.Year = as.numeric(Planned.Retirement.Year)) %>%
# For units without a Planned.Retirement.Year, we assume a maximum lifetime of 80 years
mutate(Retirement.Year = if_else(is.na(Planned.Retirement.Year),
Operating.Year + gcamusa.AVG_COAL_PLANT_LIFETIME,
Planned.Retirement.Year)) ->
L2241.coal_units_ret_2018
# Create a table of generation and capacity-weighted lifetime from 2015 and by state and vintage
L2241.coal_units_ret_2018 %>%
# Calculate lifetime from 2018, which is model base year
mutate(cap.lifetime = capacity * (Retirement.Year - max(MODEL_BASE_YEARS))) %>%
group_by(State, vintage.bin) %>%
summarise(lifetime = round(sum(cap.lifetime) / sum(capacity), 0), generation = sum(generation)) %>%
mutate(generation = generation * CONV_MWH_GJ * CONV_GJ_EJ,
# For units with 0 or negative expected lifetime, we will set lifetime to 1 to avoid calibration issues
lifetime = replace(lifetime, lifetime < 0, 1)) %>%
ungroup() %>%
# Keep share of each vintage bin of the total generation in each state ready to be applied to
# calibrated value in 2015
group_by(State) %>%
mutate(share.vintage = generation / sum(generation)) %>%
ungroup() ->
L2241.coal_vintage_gen_2018
# Apply vintage share by state to calibrated values for slow retire component and create table to be read in
L2241.coal_vintage_gen_2018 %>%
rename(region = State) %>%
# LJENM is intended to duplicate rows so production can be allocated across vintages; use left_join to avoid error
left_join(L2241.StubTechProd_elec_coalret_USA %>%
filter(subsector == "coal",
year == max(MODEL_BASE_YEARS),
!grepl("retire", stub.technology)),
by = "region") %>%
filter(!is.na(calOutputValue), calOutputValue != 0) %>%
mutate(calOutputValue = calOutputValue * share.vintage,
# Create new technologies. Naming the variable as stub.technology.new so that we can use stub.technology as reference later
stub.technology.new = paste(stub.technology, vintage.bin, sep = " "),
year = max(MODEL_BASE_YEARS), share.weight.year = max(MODEL_BASE_YEARS),
subs.share.weight = 1, tech.share.weight = 1) %>%
# Select variables. For now, include lifetime and vintage.bin as well. We'll remove it later
select(LEVEL2_DATA_NAMES[["StubTechProd"]], stub.technology.new, lifetime, vintage.bin) ->
L2241.StubTechProd_coal_vintage_USA
# Create a table to read in S-curve parameters for vintage bin techs by state
L2241.StubTechProd_coal_vintage_USA %>%
mutate(stub.technology = stub.technology.new) %>%
select(LEVEL2_DATA_NAMES[["StubTechLifetime"]]) %>%
mutate(steepness = gcamusa.COAL_RETIRE_STEEPNESS,
half.life = round(lifetime * (gcamusa.AVG_COAL_PLANT_HALFLIFE / gcamusa.AVG_COAL_PLANT_LIFETIME), 0)) ->
L2241.StubTechSCurve_coal_vintage_USA
# Read in profit shutdown decider for vintage technologies
L2241.StubTechProd_coal_vintage_USA %>%
mutate(stub.technology = stub.technology.new) %>%
select(LEVEL2_DATA_NAMES[["StubTechLifetime"]]) %>%
mutate(median.shutdown.point = gcamusa.MEDIAN_SHUTDOWN_POINT,
profit.shutdown.steepness = gcamusa.PROFIT_SHUTDOWN_STEEPNESS) %>%
select(LEVEL2_DATA_NAMES[["StubTechProfitShutdown"]]) ->
L2241.StubTechProfitShutdown_coal_vintage_USA
# Create a table to read in energy inputs and efficiencies for the new technologies in calibration years.
# Assuming state average efficiency for all vintages since historically, there is not much
# correlation between efficiency of a generator and its vintage.
L2241.StubTechProd_coal_vintage_USA %>%
select(LEVEL2_DATA_NAMES[["StubTechYr"]], stub.technology.new) %>%
complete(nesting(region, supplysector, subsector, stub.technology, stub.technology.new), year = MODEL_BASE_YEARS) %>%
left_join_error_no_match(L2241.StubTechEff_elec_coalret_USA,
by = c("region", "supplysector", "subsector", "stub.technology", "year")) %>%
mutate(stub.technology = stub.technology.new) %>%
select(LEVEL2_DATA_NAMES[["StubTechEff"]]) ->
L2241.StubTechEff_coal_vintage_USA
# Read in energy inputs for future periods
L2241.StubTechEff_coal_vintage_USA %>%
filter(year == max(MODEL_BASE_YEARS)) %>%
select(-efficiency, -year) %>%
repeat_add_columns(tibble(year = MODEL_FUTURE_YEARS)) ->
L2241.StubTechMarket_coal_vintage_USA
# Create tables to read in energy and non-energy inputs for future years in global technology database
# Create a basic strucure with common variables
L2241.StubTechProd_coal_vintage_USA %>%
select(supplysector, subsector, stub.technology, stub.technology.new, year) %>%
unique() %>%
complete(nesting(supplysector, subsector, stub.technology, stub.technology.new), year = MODEL_YEARS) ->
L2241.GlobalTech
# Energy inputs: Efficiency
L2241.GlobalTech %>%
left_join_error_no_match(L2234.GlobalTechEff_elecS_USA,
by = c("supplysector", "subsector", "stub.technology" = "technology", "year")) %>%
rename(sector.name = supplysector, subsector.name = subsector, technology = stub.technology.new) %>%
select(LEVEL2_DATA_NAMES[["GlobalTechEff"]]) ->
L2241.GlobalTechEff_coal_vintage_USA
# Non-energy inputs: capacity factor, capital costs, fixed and variable OM costs
# Capacity factor:
L2241.GlobalTech %>%
left_join_error_no_match(L2234.GlobalTechCapFac_elecS_USA,
by = c("supplysector", "subsector", "stub.technology" = "technology", "year")) %>%
rename(sector.name = supplysector, subsector.name = subsector, technology = stub.technology.new) %>%
select(LEVEL2_DATA_NAMES[["GlobalTechCapFac"]]) ->
L2241.GlobalTechCapFac_coal_vintage_USA
# Capital costs:
L2241.GlobalTech %>%
left_join_error_no_match(L2234.GlobalTechCapital_elecS_USA,
by = c("supplysector", "subsector", "stub.technology" = "technology", "year")) %>%
rename(sector.name = supplysector, subsector.name = subsector, technology = stub.technology.new) %>%
select(LEVEL2_DATA_NAMES[["GlobalTechCapital"]]) ->
L2241.GlobalTechCapital_coal_vintage_USA
# Fixed OM costs:
L2241.GlobalTech %>%
left_join_error_no_match(L2234.GlobalTechOMfixed_elecS_USA,
by = c("supplysector", "subsector", "stub.technology" = "technology", "year")) %>%
rename(sector.name = supplysector, subsector.name = subsector, technology = stub.technology.new) %>%
select(LEVEL2_DATA_NAMES[["GlobalTechOMfixed"]]) ->
L2241.GlobalTechOMfixed_coal_vintage_USA
# Variable OM costs
L2241.GlobalTech %>%
left_join_error_no_match(L2234.GlobalTechOMvar_elecS_USA,
by = c("supplysector", "subsector", "stub.technology" = "technology", "year")) %>%
rename(sector.name = supplysector, subsector.name = subsector, technology = stub.technology.new) %>%
select(LEVEL2_DATA_NAMES[["GlobalTechOMvar"]]) ->
L2241.GlobalTechOMvar_coal_vintage_USA
# Create table to read in shareweights in future years in global technology database
L2241.GlobalTech %>%
mutate(share.weight = 0) %>%
rename(sector.name = supplysector, subsector.name = subsector, technology = stub.technology.new) %>%
select(LEVEL2_DATA_NAMES[["GlobalTechShrwt"]]) ->
L2241.GlobalTechShrwt_coal_vintage_USA
# Clean up StubTechProd table
L2241.StubTechProd_coal_vintage_USA %>%
mutate(stub.technology = stub.technology.new) %>%
select(LEVEL2_DATA_NAMES[["StubTechProd"]]) %>%
complete(nesting(region, supplysector, subsector, stub.technology), year = MODEL_BASE_YEARS) %>%
mutate(share.weight.year = year) %>%
# Read in zero caloutputvalue for other base years
replace_na(list(calOutputValue = 0, subs.share.weight = 1, tech.share.weight = 0)) ->
L2241.StubTechProd_coal_vintage_USA
# Read in zero calOutputValue for 2010 for existing coal conv pul technology
L2241.StubTechProd_elec_coalret_USA %>%
filter(subsector == "coal",
year == max(MODEL_BASE_YEARS),
calOutputValue != 0,
!grepl("_retire_", stub.technology),
region %in% unique(L2241.coal_vintage_gen_2018$State)) %>%
mutate(calOutputValue = 0, tech.share.weight = 0) %>%
select(LEVEL2_DATA_NAMES[["StubTechProd"]]) %>%
bind_rows(L2241.StubTechProd_coal_vintage_USA) %>%
arrange(region, year) ->
L2241.StubTechProd_coal_vintage_USA
# ===================================================
# Produce outputs
L2241.StubTechProd_elec_coalret_USA %>%
add_title("Calibration outputs for conventional coal electricity plants by load segment and U.S. state") %>%
add_units("EJ") %>%
add_comments("Conventional coal electricity outpts are allocated to fast retire and slow retire technologies") %>%
add_precursors("gcam-usa/A23.elec_tech_mapping_coal_retire",
"gcam-usa/states_subregions",
"gcam-usa/EIA_coal_generation_2018",
"L2234.StubTechProd_elecS_USA") ->
L2241.StubTechProd_elec_coalret_USA
L2241.StubTechEff_elec_coalret_USA %>%
add_title("Efficiencies of U.S. conventional coal electricity plants by load segment and state in calibration years") %>%
add_units("Unitless") %>%
add_comments("Set the same efficiency values for fast retire and slow retire technologies") %>%
add_precursors("gcam-usa/A23.elec_tech_mapping_coal_retire",
"L2234.StubTechEff_elecS_USA") ->
L2241.StubTechEff_elec_coalret_USA
L2241.StubTechSCurve_elec_coalret_USA %>%
add_title("S-curve shutdown decider for historic U.S. conventional coal electricity plants by load segment and state") %>%
add_units("Unitless") %>%
add_comments("Separate fast retire and slow retire technologies") %>%
add_precursors("gcam-usa/A23.elec_tech_mapping_coal_retire",
"gcam-usa/A23.elec_tech_coal_retire_SCurve") ->
L2241.StubTechSCurve_elec_coalret_USA
L2241.StubTechMarket_elec_coalret_USA %>%
add_title("Energy inputs of historic U.S. conventional coal electricity plants by load segment and state in all model years") %>%
add_units("Unitless") %>%
add_comments("Separate fast retire and slow retire technologies") %>%
add_precursors("gcam-usa/A23.elec_tech_mapping_coal_retire",
"L2234.StubTechMarket_elecS_USA") ->
L2241.StubTechMarket_elec_coalret_USA
L2241.GlobalTechShrwt_elec_coalret_USA %>%
add_title("Shareweights for historic U.S. conventional coal electricity plants by load segment and model year") %>%
add_units("Unitless") %>%
add_comments("Separate fast retire and slow retire technologies") %>%
add_precursors("gcam-usa/A23.elec_tech_mapping_coal_retire",
"L2234.GlobalTechShrwt_elecS_USA") ->
L2241.GlobalTechShrwt_elec_coalret_USA
L2241.GlobalTechCapFac_elec_coalret_USA %>%
add_title("Capacity factors for historic U.S. conventional coal electricity plants by load segment and model year") %>%
add_units("Unitless") %>%
add_comments("Set the same capacity factor values for fast retire and slow retire technologies") %>%
add_precursors("gcam-usa/A23.elec_tech_mapping_coal_retire",
"L2234.GlobalTechCapFac_elecS_USA") ->
L2241.GlobalTechCapFac_elec_coalret_USA
L2241.GlobalTechCapital_elec_coalret_USA %>%
add_title("Capital costs of historic U.S. conventional coal electricity plants by load segment and model year") %>%
add_units("1975$ per kW; unitless (fixed.charge.rate)") %>%
add_comments("Set the same capital cost values for fast retire and slow retire technologies") %>%
add_precursors("gcam-usa/A23.elec_tech_mapping_coal_retire",
"L2234.GlobalTechCapital_elecS_USA") ->
L2241.GlobalTechCapital_elec_coalret_USA
L2241.GlobalTechOMfixed_elec_coalret_USA %>%
add_title("Fixed OM costs of historic U.S. conventional coal electricity plants by load segment and model year") %>%
add_units("1975$/kW/yr") %>%
add_comments("Set the same fixed OM cost values for fast retire and slow retire technologies") %>%
add_precursors("gcam-usa/A23.elec_tech_mapping_coal_retire",
"L2234.GlobalTechOMfixed_elecS_USA") ->
L2241.GlobalTechOMfixed_elec_coalret_USA
L2241.GlobalTechOMvar_elec_coalret_USA %>%
add_title("Variable OM costs of historic U.S. conventional coal electricity plants by load segment and model year") %>%
add_units("1975$/MWh") %>%
add_comments("Set the same variable OM cost values for fast retire and slow retire technologies") %>%
add_precursors("gcam-usa/A23.elec_tech_mapping_coal_retire",
"L2234.GlobalTechOMvar_elecS_USA") ->
L2241.GlobalTechOMvar_elec_coalret_USA
L2241.GlobalTechEff_elec_coalret_USA %>%
add_title("Efficiencies of historic U.S. conventional coal electricity plants by load segment and model year") %>%
add_units("Unitless") %>%
add_comments("Set the same efficiency values for fast retire and slow retire technologies") %>%
add_precursors("gcam-usa/A23.elec_tech_mapping_coal_retire",
"L2234.GlobalTechEff_elecS_USA") ->
L2241.GlobalTechEff_elec_coalret_USA
L2241.GlobalTechProfitShutdown_elec_coalret_USA %>%
add_title("Profit shut-down decider for historic U.S. conventional coal electricity plants by load segment and model year") %>%
add_units("Unitless") %>%
add_comments("Set the same values for fast retire and slow retire technologies") %>%
add_precursors("gcam-usa/A23.elec_tech_mapping_coal_retire",
"L2234.GlobalTechProfitShutdown_elecS_USA") ->
L2241.GlobalTechProfitShutdown_elec_coalret_USA
L2241.StubTechProd_coal_vintage_USA %>%
add_title("Calibration outputs for slow_retire conventional coal electricity plants by detailed vintage and state") %>%
add_units("EJ") %>%
add_comments("Generation shares by vintage are calculated based on EIA unit-level 2015 data") %>%
add_comments("Generation shares by vintage are then applied to slow_retire stub-technology 2010 generation in each state") %>%
add_comments("Generation in other base years are set to zero to each vintage stub-technology") %>%
add_legacy_name("L2241.StubTechProd_coal_vintage_USA") %>%
add_precursors("gcam-usa/prime_mover_map",
"gcam-usa/EIA_860_generators_existing_2018",
"gcam-usa/EIA_923_generator_gen_fuel_2018",
"L2241.StubTechProd_elec_coalret_USA") ->
L2241.StubTechProd_coal_vintage_USA
L2241.StubTechEff_coal_vintage_USA %>%
add_title("Efficiencies of slow_retire conventional coal electricity plants by detailed vintage and state in calibration years") %>%
add_units("Unitless") %>%
add_comments("Apply the same efficiencies to all vintage groups") %>%
add_legacy_name("L2241.StubTechEff_coal_vintage_USA") %>%
same_precursors_as("L2241.StubTechProd_coal_vintage_USA") %>%
add_precursors("L2241.StubTechEff_elec_coalret_USA") ->
L2241.StubTechEff_coal_vintage_USA
L2241.StubTechSCurve_coal_vintage_USA %>%
add_title("Lifetime and retirement parameters for slow_retire conventional coal electricity plants from 2010 by detailed vintage and state") %>%
add_units("Years") %>%
add_comments("Average lifetime for each vintage group is weighted by capacity, based on EIA unit-level 2015 data") %>%
add_comments("Only for vintage groups with greater than 20 years of lifetime remaining") %>%
same_precursors_as("L2241.StubTechProd_coal_vintage_USA") %>%
add_precursors("gcam-usa/EIA_860_generators_retired_2018") ->
L2241.StubTechSCurve_coal_vintage_USA
L2241.StubTechProfitShutdown_coal_vintage_USA %>%
add_title("Profit shutdown decider for slow_retire conventional coal electricity plants by detailed vintage and state") %>%
add_units("Unitless") %>%
add_comments("Same to all vintage groups") %>%
add_legacy_name("L2241.StubTechProfitShutdown_coal_vintage_USA") %>%
same_precursors_as("L2241.StubTechSCurve_coal_vintage_USA") ->
L2241.StubTechProfitShutdown_coal_vintage_USA
L2241.StubTechMarket_coal_vintage_USA %>%
add_title("Energy inputs for slow_retire conventional coal electricity plants by detailed vintage and state") %>%
add_units("Unitless") %>%
add_comments("Same to all vintage groups") %>%
add_legacy_name("L2241.StubTechMarket_coal_vintage_USA") %>%
same_precursors_as("L2241.StubTechEff_coal_vintage_USA") ->
L2241.StubTechMarket_coal_vintage_USA
L2241.GlobalTechShrwt_coal_vintage_USA %>%
add_title("Shareweights for slow_retire conventional coal electricity plants by detailed vintage and state") %>%
add_units("Unitless") %>%
add_comments("Set zero shareweights for all vintage stub-technologies") %>%
add_legacy_name("L2241.GlobalTechShrwt_coal_vintage_USA") %>%
same_precursors_as("L2241.StubTechProd_coal_vintage_USA") ->
L2241.GlobalTechShrwt_coal_vintage_USA
L2241.GlobalTechEff_coal_vintage_USA %>%
add_title("Efficiencies for slow_retire conventional coal electricity plants by detailed vintage and state") %>%
add_units("Unitless") %>%
add_comments("Same to all vintage groups") %>%
add_legacy_name("L2241.GlobalTechEff_coal_vintage_USA") %>%
same_precursors_as("L2241.StubTechProd_coal_vintage_USA") %>%
add_precursors("L2241.GlobalTechEff_elec_coalret_USA") ->
L2241.GlobalTechEff_coal_vintage_USA
L2241.GlobalTechCapFac_coal_vintage_USA %>%
add_title("Capacity factors for slow_retire conventional coal electricity plants by detailed vintage and state") %>%
add_units("Unitless") %>%
add_comments("Same to all vintage groups") %>%
add_legacy_name("L2241.GlobalTechCapFac_coal_vintage_USA") %>%
same_precursors_as("L2241.StubTechProd_coal_vintage_USA") %>%
add_precursors("L2241.GlobalTechCapFac_elec_coalret_USA") ->
L2241.GlobalTechCapFac_coal_vintage_USA
L2241.GlobalTechCapital_coal_vintage_USA %>%
add_title("Capital costs for slow_retire conventional coal electricity plants by detailed vintage and state") %>%
add_units("1975$ per kW; unitless (fixed.charge.rate)") %>%
add_comments("Same to all vintage groups") %>%
add_legacy_name("L2241.GlobalTechCapital_coal_vintage_USA") %>%
same_precursors_as("L2241.StubTechProd_coal_vintage_USA") %>%
add_precursors("L2241.GlobalTechCapital_elec_coalret_USA") ->
L2241.GlobalTechCapital_coal_vintage_USA
L2241.GlobalTechOMfixed_coal_vintage_USA %>%
add_title("Fixed OM costs for slow_retire conventional coal electricity plants by detailed vintage and state") %>%
add_units("1975$/kW/yr") %>%
add_comments("Same to all vintage groups") %>%
add_legacy_name("L2241.GlobalTechOMfixed_coal_vintage_USA") %>%
same_precursors_as("L2241.StubTechProd_coal_vintage_USA") %>%
add_precursors("L2241.GlobalTechOMfixed_elec_coalret_USA") ->
L2241.GlobalTechOMfixed_coal_vintage_USA
L2241.GlobalTechOMvar_coal_vintage_USA %>%
add_title("Variable OM costs for slow_retire conventional coal electricity plants by detailed vintage and state") %>%
add_units("1975$/MWh") %>%
add_comments("Same to all vintage groups") %>%
add_legacy_name("L2241.GlobalTechOMvar_coal_vintage_USA") %>%
same_precursors_as("L2241.StubTechProd_coal_vintage_USA") %>%
add_precursors("L2241.GlobalTechOMvar_elec_coalret_USA") ->
L2241.GlobalTechOMvar_coal_vintage_USA
return_data(L2241.StubTechProd_elec_coalret_USA,
L2241.StubTechEff_elec_coalret_USA,
L2241.StubTechSCurve_elec_coalret_USA,
L2241.StubTechMarket_elec_coalret_USA,
L2241.GlobalTechShrwt_elec_coalret_USA,
L2241.GlobalTechCapFac_elec_coalret_USA,
L2241.GlobalTechCapital_elec_coalret_USA,
L2241.GlobalTechOMfixed_elec_coalret_USA,
L2241.GlobalTechOMvar_elec_coalret_USA,
L2241.GlobalTechEff_elec_coalret_USA,
L2241.GlobalTechProfitShutdown_elec_coalret_USA,
# vintage of existing techs
L2241.StubTechProd_coal_vintage_USA,
L2241.StubTechEff_coal_vintage_USA,
L2241.StubTechSCurve_coal_vintage_USA,
L2241.StubTechProfitShutdown_coal_vintage_USA,
L2241.StubTechMarket_coal_vintage_USA,
L2241.GlobalTechShrwt_coal_vintage_USA,
L2241.GlobalTechEff_coal_vintage_USA,
L2241.GlobalTechCapFac_coal_vintage_USA,
L2241.GlobalTechCapital_coal_vintage_USA,
L2241.GlobalTechOMfixed_coal_vintage_USA,
L2241.GlobalTechOMvar_coal_vintage_USA)
} else {
stop("Unknown command")
}
}
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